4. SpatialExtremes- The SpatialExtremes package aims to develop tools for the modeling of spatial extremes. The knowledge of the univariate/multivariate distribution of extremes is not enough. This package will try to fill this gap.

5. SMfSB 2e- R code associated with the second edition of the book Stochastic Modelling for Systems Biology, by Darren J Wilkinson, to be published by Chapman &amp; Hall/CRC Press, late 2011/early 2012.

7. GWAtoolbox- An R-package implemented for genome-wide association studies. The main feature is very vast quality check of data before meta-analysis. It provides an extensive list of quality statistics presented using easy-to-use DHTML and graphical outputs.

8. SPRINT: Simple Parallel R INTerface- SPRINT is a Simple Parallel R INTerface to High Performance Computing (HPC) that enables biologists to run statistical analysis scripts using R in parallel on HPC clusters. It consists of an HPC harness and a library of parallelized R functions.

10. cusp- Package for applying Cobb's maximum likelihood method to fitting cusp catastrophe models to data. The package was published in the Journal of Statistical Software [see www.jstatsoft.org/v32/i08/paper].

13. Rcwb- An R interface to the IMS Open Corpus Workbench (CWB) library for indexing and querying large corpora. rcqp provides a direct wrapping of the Corpus Query Protocol from R. rcwnclient gives an access to text corpora in client/server mode.

14. msm: Multi-state models- The &quot;msm&quot; package for continuous-time multi-state models for panel data.
From 10 Oct 2016, development moved to https://github.com/chjackson/msm. The final r-forge release is CRAN version 1.6.4.

16. Rwave: time-frequency analysis in 1-D- Rwave is a library of R functions which provide an environment for the time-frequency analysis of 1-D signals. It was originally written for Splus by Rene Carmona, Bruno Torresani, and Wen L. Hwang.

17. RecordLinkage: Detecting duplicate data- The package Record Linkage provides stochastical and machine learning methods for detecting duplicates in data and a framework for evaluating these methods.

19. Finite Mixure of AFT and FMR models- FMRS package provides estimation and variable selection in Finite Mixture of Accelerated Failure Time Regression (FMAFTR) and Finite Mixture of Regression (FMR) models with a large number of covariates and/or right censoring and heterogeneous structure.